MLOps Pipeline Templates
End-to-end ML pipeline templates with feature engineering, training, evaluation, and deployment stages.
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Machine learning pipelines, model serving, and MLOps templates
Deploy ML Models
To Production
MLOps pipelines, model serving templates, and feature store patterns. From training to production in hours.
Production-tested code
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30-day money-back guarantee
Instant download
MIT licensed
Products
Tools Built for Production
Each product is built from real implementations. No toy examples.
Model Serving Toolkit
Deploy models with FastAPI, TensorFlow Serving, Triton, and BentoML. Includes A/B testing and canary patterns.
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Feature Store Setup Guide
Build a feature store with Feast or custom implementation. Feature engineering, versioning, and serving patterns.
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Experiment Tracking Setup
MLflow and Weights & Biases configurations with experiment comparison, model registry, and artifact management.
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Data Labeling Pipeline
Annotation workflow tools, quality assurance scripts, active learning selectors, and labeling interface templates.
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Model Monitoring Dashboard
Drift detection, performance monitoring, and alerting for deployed models with Grafana dashboards and alerting rules.
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NLP Starter Kit
Text processing pipelines, embedding workflows, fine-tuning scripts, and RAG implementation patterns.
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Computer Vision Toolkit
Image classification, object detection, and segmentation pipelines with data augmentation and evaluation frameworks.
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LLM Application Framework
Build LLM-powered apps with prompt management, RAG pipelines, guardrails, evaluation harnesses, and cost tracking.
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ML Testing Framework
Test ML code: data validation, model performance, fairness checks, integration tests, and regression detection.
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GPU Optimization Guide
CUDA memory management, mixed precision training, distributed training configs, and GPU utilization monitoring.
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Best Value
Launch Pricing — Limited Time
ML Engineer Bundle
Everything you need. All 11 products, one price.
$429
$149
Save $280 (65% off)
- MLOps Pipeline Templates ($49)
- Model Serving Toolkit ($39)
- Feature Store Setup Guide ($39)
- Experiment Tracking Setup ($29)
- Data Labeling Pipeline ($29)
- Model Monitoring Dashboard ($39)
- NLP Starter Kit ($39)
- Computer Vision Toolkit ($39)
- LLM Application Framework ($59)
- ML Testing Framework ($29)
- GPU Optimization Guide ($39)
🔒 Secure Stripe checkout · Instant download · MIT licensed · 30-day money-back guarantee
Why ML Engineer Toolkit
Built by Engineers, for Engineers
Every product follows the same quality standards you'd expect from production code.
Production-Ready
Built from real production implementations. No toy examples or theoretical exercises.
Plug and Play
Drop into your existing projects. Pre-configured for common environments with clear setup instructions.
Well Documented
Comprehensive READMEs, inline comments, and architecture explanations. Understand the why, not just the how.
Best Practices
Built-in security best practices, error handling, and industry-standard patterns.
Performance Optimized
Benchmarked configurations and optimization patterns baked in from day one.
Tested & Reliable
Includes test suites, CI/CD templates, and quality assurance tooling out of the box.
FAQ
Frequently Asked Questions
Everything you need to know before purchasing.
Yes. The MIT license allows commercial use, modification, and distribution. You can use these in your company's projects, client work, and internal tooling.
The ML Engineer Bundle includes all 11 products at a 65% discount ($149). MLOps Pipeline Templates, Model Serving Toolkit, Feature Store Setup Guide, Experiment Tracking Setup, Data Labeling Pipeline, and more.
Each product is a ZIP archive containing source code, configuration files, documentation, and a README with setup instructions. Products are delivered instantly after purchase.
Yes. Every purchase comes with a 30-day refund guarantee. If a product doesn't work for your needs, email us and we'll refund your purchase — no questions asked.
Yes. When products are updated, you'll receive access to the latest version. Major updates are announced via email.
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